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Instructions to use hexera-org/GmshNet-8B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hexera-org/GmshNet-8B-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hexera-org/GmshNet-8B-v0.1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hexera-org/GmshNet-8B-v0.1") model = AutoModelForCausalLM.from_pretrained("hexera-org/GmshNet-8B-v0.1", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - llama-cpp-python
How to use hexera-org/GmshNet-8B-v0.1 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="hexera-org/GmshNet-8B-v0.1", filename="{{GGUF_FILE}}", )llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hexera-org/GmshNet-8B-v0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hexera-org/GmshNet-8B-v0.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hexera-org/GmshNet-8B-v0.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/hexera-org/GmshNet-8B-v0.1
- SGLang
How to use hexera-org/GmshNet-8B-v0.1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "hexera-org/GmshNet-8B-v0.1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hexera-org/GmshNet-8B-v0.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "hexera-org/GmshNet-8B-v0.1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hexera-org/GmshNet-8B-v0.1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use hexera-org/GmshNet-8B-v0.1 with Docker Model Runner:
docker model run hf.co/hexera-org/GmshNet-8B-v0.1
GmshNet-8B-v0.1
GmshNet-8B-v0.1 is an open-source, dense, decoder-only 8B parameter large language model specializing in Gmsh 4.x meshing scripts, designed to produce structured analyses and generate robust geometry meshes through chain-of-thought reasoning.
Quickstart
Install Dependencies
pip install -U torch transformers accelerate
Run Inference
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
# Input your prompt here
USER_INPUT = """
Create a 2D finite element mesh for a rectangular steel plate measuring 100 mm by 60 mm with a circular hole of radius 10 mm at its center (a classic stress-concentration test case). Refine the mesh around the hole to capture the stress gradient and use a coarser mesh near the outer edges. Define physical groups for the outer boundary and the hole so the mesh can be used for a finite element stress analysis.
"""
def load_model(model_path):
model = AutoModelForCausalLM.from_pretrained(
model_path,
torch_dtype=torch.float16,
device_map="auto",
trust_remote_code=True
)
tokenizer = AutoTokenizer.from_pretrained(
model_path,
trust_remote_code=True
)
with open(f"{model_path}/chat_template.jinja", "r") as f:
tokenizer.chat_template = f.read()
return model, tokenizer
def generate_response(model, tokenizer, user_input):
formatted_input = f"<gmsh_instruction>{user_input.strip()}</gmsh_instruction>"
messages = [{"role": "user", "content": formatted_input}]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=2000,
do_sample=True,
temperature=0.2,
top_k=20,
top_p=0.8,
repetition_penalty=1.1,
pad_token_id=tokenizer.eos_token_id
)
response = tokenizer.decode(outputs[0], skip_special_tokens=False)
return response.split("<|im_start|>assistant\n")[-1].replace("<|im_end|>", "").strip()
def run_inference():
model_path = "" # Path to your model weights
model, tokenizer = load_model(model_path)
result = generate_response(model, tokenizer, USER_INPUT)
print(result)
if __name__ == "__main__":
run_inference()
Example Output
<think>
I need to analyze this meshing task step by step to create an effective GMSH script.
1. Geometry Requirements:
- Main domain: 100mm × 60mm rectangular plate
- Internal feature: Circular hole of radius 10mm at center
- Need refinement around hole for stress gradient capture
- Coarser mesh near outer edges
2. Meshing Approach:
- Unstructured triangular mesh for flexibility
- Size field to control refinement (finer near hole, coarser near edges)
- Physical groups for boundaries and hole surface
- Potential quadrilateral recombination in structured regions if needed
3. Construction Steps:
a) Create rectangle points and lines
b) Create circle points and arcs
c) Define line loops for plate and hole
d) Create plane surface with hole
e) Set mesh size fields for refinement
f) Define physical groups
g) Generate 2D mesh
</think>
<response>
1. High-level Overview:
- We'll create a rectangular plate with a circular hole at center
- Use size field to refine mesh near hole (radius 5mm from center)
- Coarser mesh grows outward from outer edges
- Physical groups for boundaries and hole surface
2. Step-by-step Instructions:
a) Create rectangle points (4 corners)
b) Connect with lines to form boundary
c) Create circle points (center + 4 quadrants)
d) Connect circle points with arcs
e) Define line loops for plate and hole
f) Create surface with hole
g) Set mesh size field with Attractor near hole
h) Define physical groups
i) Generate mesh
3. Complete GMSH Script:
```
// Rectangular Plate with Hole - Stress Concentration Test Case
// Geometry Parameters
plate_length = 100;
plate_width = 60;
hole_radius = 10;
// Mesh Sizing Parameters
base_size = 5; // Base mesh size
hole_refine = 1.0; // Size at hole center
hole_growth = 2.0; // Growth rate from hole to outer edges
// Create Rectangle Points
Point(1) = {0, 0, 0, base_size};
Point(2) = {plate_length, 0, 0, base_size};
Point(3) = {plate_length, plate_width, 0, base_size};
Point(4) = {0, plate_width, 0, base_size};
// Create Rectangle Edges
Line(1) = {1, 2};
Line(2) = {2, 3};
Line(3) = {3, 4};
Line(4) = {4, 1};
// Create Hole Points (center + 4 quadrants)
Point(5) = {plate_length/2, plate_width/2, 0, hole_refine}; // Center
Point(6) = {plate_length/2 + hole_radius, plate_width/2, 0, hole_refine};
Point(7) = {plate_length/2, plate_width/2 + hole_radius, 0, hole_refine};
Point(8) = {plate_length/2 - hole_radius, plate_width/2, 0, hole_refine};
Point(9) = {plate_length/2, plate_width/2 - hole_radius, 0, hole_refine};
// Create Hole Arcs
Circle(5) = {6, 5, 7};
Circle(6) = {7, 5, 8};
Circle(7) = {8, 5, 9};
Circle(8) = {9, 5, 6};
// Define Line Loops
Line Loop(1) = {1, 2, 3, 4}; // Outer boundary
Line Loop(2) = {5, 6, 7, 8}; // Hole boundary
// Create Surface with Hole
Plane Surface(1) = {1, 2};
// Mesh Size Field - Refinement near hole
Field[1] = Distance;
Field[1].NodesList = {5}; // Center point of hole
Field[2] = Threshold;
Field[2].IField = 1;
Field[2].LcMin = hole_refine;
Field[2].LcMax = base_size;
Field[2].DistMin = hole_radius;
Field[2].DistMax = plate_length/4;
Background Field = 2;
// Physical Groups
Physical Curve("OuterBoundary", 1) = {1, 2, 3, 4};
Physical Curve("HoleBoundary", 2) = {5, 6, 7, 8};
Physical Surface("Plate", 1) = {1};
// Mesh Settings
Mesh.Algorithm = 6; // Frontal-Delaunay
Mesh.Smoothing = 5; // More smoothing iterations
// Generate 2D Mesh
Mesh 2;
```
4. Implementation Notes:
- To run: Open in GMSH → Mesh → 2D
- Adjust parameters at top for different sizes/resolutions
- Visualize geometry (Geometry tab) before meshing to verify
- For quadrilateral mesh near hole, add:
```
Mesh.RecombineAll = 1;
Mesh.Algorithm = 8; // Delaunay for quads
```
- Common errors to avoid:
- Ensure line loops are properly closed
- Verify point IDs in circle definitions
- Check that surface includes both line loops (plate and hole)
</response>
Feedback
Tried the model? We'd love to hear how it went! It takes about a minute:
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